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Draw speciaized graphs using pyecharts

Project description

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Latest version works with pyecharts 1.3.1+.

Please launch the binder to get an interactive jupyter notebook running.

1. Time Series Event

Usage of TimeYAxisDateXAxis:

import pyecharts.options as opts
from pyecharts_extras.date_time import TimeYAxisDateXAxis, DateAxisOpts, TimeAxisOpts
from datetime import datetime

data = [
   datetime(2020,9,1,3,11,11),
   ...
]

data2 = [
    datetime(2020,9,1,1,11,11),
    ...
]

chart = TimeYAxisDateXAxis(init_opts=opts.InitOpts(height="1000px"))
chart.set_global_opts(
         xaxis_opts=DateAxisOpts(axis_data=all_dates),
         yaxis_opts=TimeAxisOpts(),
         tooltip_opts=opts.TooltipOpts(is_show=False))
chart.add_data('A', data, symbol_size=10)
chart.add_data('B', data2, symbol_size=20)
chart.render_notebook()
https://user-images.githubusercontent.com/4280312/92998181-4b4f6e00-f510-11ea-9b0a-963a83f64e04.png

2. ChoroplethMap

https://user-images.githubusercontent.com/4280312/61274388-a0281500-a7a3-11e9-9501-27e8a1659bd0.png

Installation

You can install pyecharts-extras via pip:

$ pip install pyecharts-extras

or clone it and install it:

$ git clone https://github.com/pyecharts/pyecharts-extras.git
$ cd pyecharts-extras
$ python setup.py install

Change log

0.0.5 - 12.09.2020

Fixed

  1. time date scatter plot failed to display different sets of data

0.0.4 - 06.09.2020

Added

  1. it scatters event over time vs date chart so as to spot patterns in events.

0.0.3 - 15.07.2019

Updated

  1. it use pyecharts 1.3 to draw ChoroplethMap

0.0.2 - 09.06.2019

Updated

  1. it use pyecharts 1.x to draw ChoroplethMap

0.0.1 - 17.04.2019

first release

  1. it draws ChoroplethMap

Project details


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